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IT Project ManagementResource
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Students can have AI finish an Excel assignment in seconds, but this resource makes sure they actually learn it. Built for Excel Online, it takes students from foundational skills through formulas, logic functions, charting, tables, conditional formatting, modeling, statistics, and PivotTables, then extends into database design and SQL, with readings, lecture videos, practice problems, and automatically graded assignments in every lesson. Lisa, a 24/7 AI tutor, helps students troubleshoot in real time, while Alex interviews them about their work as part of the grade, so full credit requires real understanding. Students finish with a verified certificate for LinkedIn and their resume.
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Students can have AI finish an Excel assignment in seconds, but this resource makes sure they actually learn it. Instruction and grading happen inside live Microsoft Excel, covering formulas, modeling, statistics, PivotTables, optimization, and SQL, with instant automated grading and built-in cheating detection. Lisa, a 24/7 AI tutor, helps students troubleshoot in real time, while Alex asks them to explain their reasoning to earn full credit. Students finish with a verified certificate for LinkedIn and their resume.
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AI delivers value only when it is aligned with business strategy, and this resource shows students how to make that happen. Built for MIS and upper-level business students, it covers the real technologies behind AI, including rule-based systems, predictive AI, computer vision, natural language processing, autonomous AI, and large language models, along with hands-on prompt engineering. Students then anchor that knowledge in the Enterprise Architecture framework, learning how data architecture, governance, people, and process transformation fit together to deploy AI at scale. With dedicated coverage of ethics, risk management, and agentic AI, students leave knowing not just how to use AI, but how to architect it into a business.
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More than 60 percent of U.S. working-age adults now use generative AI, so the real question for students is no longer whether they will use it, but what it will do to them over time. This resource, designed for any program from business to general education, teaches the habits that make students more capable instead of more dependent. Students choose one major AI tool, such as Claude or ChatGPT, and stay with it throughout, so their work is judged on their framing, checking, and judgment rather than the product name. Built on the AI Engagement Model, they learn calibrated trust, how to avoid the Oracle Trap of uncritical acceptance, and how to preserve their own judgment. Working through a running business case, they frame problems before building, manage AI as part of an evidence team, build, test, and verify, then integrate the evidence, decide, and defend their work. The result is durable AI fluency that transfers to any tool.
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Technology projects succeed when sound project management meets smart use of AI, and this resource teaches students both. Students learn what makes a project, how portfolios, programs, and projects fit together, and how organizations select the right projects using proven methods. They then follow the full project life cycle, from initiating and planning through executing, monitoring and controlling, and closing, while exploring the role of the project manager, the project team, and project management methodology. Throughout, students see how AI tools can enhance efficiency, reduce risk, and improve decision-making. They finish with a practical understanding of how to lead IT projects and sustain change.
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AI can produce a forecast in seconds, but only analysts who understand the logic underneath can tell whether to trust it. This resource builds that understanding in Excel, where students see the inner workings of core models instead of treating them as black boxes. With business understanding at its core, students learn the four types of analytics, then work through business intelligence, data warehousing, statistical modeling, forecasting, optimization, simulation, data mining, and natural language processing, applied across marketing, finance, and operations. Throughout, AI enhances and externally validates their solutions, and the resource closes with AI tools and ethics, preparing students to use AI with both confidence and judgment.
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Spreadsheets show the numbers, but Power BI shows what they mean. This module helps students move beyond spreadsheets into interactive reporting and dynamic decision support, using real-world financial and accounting data. Following the typical Power BI workflow, students connect to and shape raw data with Power Query, build relational models, create calculated fields and measures with DAX, and design reports with effective charts and dashboards. Guided follow-along videos, practice datasets, and check-your-work files support each step, and a final FP&A performance and profitability project brings it all together. Students leave able to tell powerful business stories in budgeting, forecasting, auditing, and performance analysis.
Learn More →We are always looking for ways to improve our platform and are constantly building smarter tools, refining our interface, and expanding our capabilities. Our latest updates are designed to save you time and make sure your courses stand out. Here are some of the powerful new features currently in your resources:
Multiple choice shows if a student got the answer right—AI Dialogue shows why. Students reason through realistic scenarios, negotiate with stakeholders, and work through conversations in real time.

Give students hands-on, frictionless SQL practice without ever leaving their textbook resource. They can write and run live queries directly inside the chapter—no separate coding environment or software setup required.

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